An image-guided network for depth edge enhancement
Abstract With the rapid development of 3D coding and display technologies, numerous applications are emerging to target human immersive entertainments. To achieve a prime 3D visual experience, high accuracy depth maps play a crucial role. However, depth maps retrieved from most devices still suffer...
Main Authors: | Kuan-Ting Lee, En-Rwei Liu, Jar-Ferr Yang, Li Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-04-01
|
Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13640-022-00583-9 |
Similar Items
-
Precise depth map upsampling and enhancement based on edge‐preserving fusion filters
by: Ting‐An Chang, et al.
Published: (2018-08-01) -
Robust depth enhancement and optimization based on advanced multilateral filters
by: Ting-An Chang, et al.
Published: (2017-07-01) -
Depth Map Super-Resolution Using Guided Deformable Convolution
by: Joon-Yeon Kim, et al.
Published: (2021-01-01) -
End-to-End Depth-Guided Relighting Using Lightweight Deep Learning-Based Method
by: Sabari Nathan, et al.
Published: (2023-08-01) -
Depth Estimation From a Single Image Using Guided Deep Network
by: Minsoo Song, et al.
Published: (2019-01-01)